The Data Standard

What is the digital health space? with Shashank Garg
Shashank Garg, Lead Data Scientist at AppLab, sits down with TDS to discuss the digital health space.

Episode Summary

Advances in digital technologies and data analytics have created unparalleled opportunities to assess and modify health behavior and thus accelerate the ability of science to understand and contribute to improved health behavior and health outcomes. Digital health data capture the richness and granularity of individuals’ behavior, the confluence of factors that impact behavior at the moment, and the within-individual evolution of behavior over time. These data may contribute to discovery science by revealing digital markers of health/risk behavior as well as translational science by informing personalized and timely models of intervention delivery. And they may help inform diagnostic classification of clinically problematic behavior and the clinical trajectories of diagnosable disorders over time. The COVID-19 pandemic has fundamentally altered health priorities around the world. Across all sectors, organizations are engaging with digital solutions to tackle the spread of the virus and relying on data to make critical decisions around healthcare delivery and resource prioritization. In this podcast, we will discuss why we are seeing an increase in the use of digital during the COVID-19 pandemic, and how this extreme experience has awakened the world to the crucial infrastructure that needs to be in place in order to rapidly respond to future health emergencies.

Meet The Host

Darren Kaplan

Co-Founder & Board Member of HiQ Labs

Darren Kaplan is 2x Founder and recognized as one of the Top 20 Data Science Influencers in 2020. Darren is the co-creator of The Data Standard, the premier networking user-community for data-science, data engineers, and cybersecurity enthusiasts.

Meet The Guest

Shashank Garg

Lead Data Scientist at AppLab

Experienced Data Scientist with a demonstrated history of working in the health care industry and startups. Skilled in Data Science, Machine Learning, Cloud Computing and Big Data. Strong engineering professional with a Master of Science (MS) focused in Artificial Intelligence from NYU.